OriginTrail

**OriginTrail and BSI representatives** will present at Polkadot's Arcadium event in Singapore on September 30. - **Tomaz from OriginTrail** and **Zhan Hao Yap from BSI UK** taking the stage - Focus on **enterprise adoption** in the blockchain space - Event scheduled for **15:45 GMT+9** The presentation will explore how enterprises are integrating blockchain technology and what the future holds for business adoption in the Web3 ecosystem. *Stay tuned for insights on real-world blockchain implementation.*

**Node Luigi on NeuroWebAI** has reached the maximum **5M TRAC staking cap**, joining other high-performing nodes that have achieved this milestone since the cap increase from 2M to 5M TRAC. **Key Details:** - Token holders can now delegate TRAC to secure the Decentralized Knowledge Graph (DKG) - Higher staking caps allow optimized yields and signal value of knowledge assets - Multiple nodes across NeuroWebAI and Gnosis Chain have reached the new maximum **Network Growth:** The increased staking activity strengthens the DKG network, enabling more AI-ready knowledge publication and greater value for all participants. [Stake TRAC tokens](https://staking.origintrail.io) to participate in securing the decentralized knowledge infrastructure.

**Snowbridge has launched the first stage of its trustless Polkadot-native bridge on NeuroWeb**, marking a significant milestone for cross-chain interoperability. **Current Features:** - One-way $TRAC token transfers from Ethereum to NeuroWeb - Trustless operation without intermediaries - Native Polkadot integration **What's Next:** - Reverse direction transfers (NeuroWeb to Ethereum) launching next week - Full bidirectional bridge functionality The bridge represents a major step forward for Polkadot's ecosystem connectivity, enabling seamless asset movement between Ethereum and Polkadot parachains. [Start using the bridge](http://app.snowbridge.network)

**OriginTrail tackles AI's data quality problem** at the upcoming Polkadot Sub0 conference in Buenos Aires. - Brana Rakic will present how OriginTrail enables **verifiable and trustworthy AI** systems - The presentation addresses the fundamental challenge that **AI is only as good as its data** - Focus on demonstrating practical solutions for data verification in AI applications This follows OriginTrail's previous discussions on neuro-symbolic AI and data intelligence at scale on the Polkadot network. *Learn how blockchain technology can solve AI's trust problem.*

The OriginTrail Decentralized Knowledge Graph (DKG) is advancing AI-driven healthcare through secure genomic and scientific data sharing. Working with partners including NVIDIA, University of Oxford, and The Alan Turing Institute, the platform enables: - Secure access to global scientific data - AI agent interaction with shared scientific memory - Real-time knowledge updates and verification The Messari report highlights OriginTrail as a crucial retrieval and storage layer for decentralized science (DeSci), particularly in healthcare applications. The platform's integration with BioProtocol allows AI agents to access and verify scientific knowledge in a decentralized manner.

Tomaz Levak from OriginTrail is presenting at the UN's AI for Good Summit in Geneva, addressing critical challenges in AI and media authenticity. The event has gathered over 15,000 participants. Key highlights: - Focus on combating deepfakes and misinformation - Partnership between OriginTrail and Umanitek for verifiable information - Panel discussions with TikTok, Witness.org, and ElevenLabs - Solutions leveraging Decentralized Knowledge Graph (DKG) The summit emphasizes data ownership, transparency, and verification standards in AI systems. [Learn more about the summit](https://aiforgood.itu.int/speaker/tomaz-levak/)

OriginTrail has been selected to participate in the European Lighthouse on Secure and Safe AI (ELSA) initiative, joining forces with industry leaders NVIDIA, University of Oxford, and The Alan Turing Institute. The project focuses on developing a secure genomic data repository to advance AI-driven personalized healthcare. OriginTrail will contribute its expertise in building scalable and trusted data systems. Key partners include: - Leading tech companies: NVIDIA, Leonardo IT - Academic institutions: Oxford, ETH, EPFL - Research centers: Max Planck Institute, EMBL The collaboration aims to establish standards for safe AI implementation in healthcare across the EU.

OriginTrail's Decentralized Knowledge Graph (DKG) continues to make waves in decentralized science (#DeSci). @DrevZiga presented DKG capabilities at @DeSciBerlin, following successful implementations at the @BioProtocol hackathon. Key developments: - DKG V8 enhances neuro-symbolic AI with data integrity - Focus on scientific data provenance and user control - Growing adoption in DeSci community The project maintains momentum from January's technical roadmap discussion, where team leads detailed DKG's role in AI-powered scientific research.

OriginTrail has developed a Decentralized Knowledge Graph (DKG) to address the critical need for reliable AI agent memory systems. Key features: - Open-source memory layer - Verifiable and ownable data - Decentralized architecture - Neuro-symbolic AI memory capabilities The DKG enables AI agents to: - Store conversations and predictions - Learn and adapt transparently - Make verifiable decisions - Evolve responsibly The technology is being showcased at ETH Belgrade, with practical demonstrations available through ChatDKG on X platform. [Try ChatDKG](https://twitter.com/ChatDKG)

BioProtocol announces OriginTrail as their backend infrastructure for Decentralized Knowledge Graphs, marking a significant step in scientific data management. Key developments: - Kickoff event scheduled in Berlin featuring Jure Skornik - Integration focuses on decentralizing scientific knowledge - Open applications for bio-agents program now available The partnership builds on OriginTrail's V8 DKG technology, which also powers Opus Universe's decentralized Knowledge Mining initiative. Join the ecosystem: - Apply at [Bio-Agents Program](https://lu.ma/bio-agents) - Connect via [Discord](https://discord.gg/bioxyz)